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What’s on the programme at #AIES2026?
The ninth AAAI / ACM Conference on Artificial Intelligence, Ethics, and Society (AIES) is taking place in Malmö, Sweden from 12-14 October 2026. The programme features keynote talks, a panel, discussion sessions, paper presentations, and posters.
Generative AI has changed mathematics forever. Where to from here?
By Melissa Lee, Monash University In August, artificial intelligence company OpenAI announced ten advances in mathematics and computer science made with their as-yet unreleased model Astra. The discoveries cover a wide range of mathematical fields, including geometry, cryptography and coding theory. These ten are just the latest in a rapidly growing list of mathematical breakthroughs
Cybersecurity, evolutionary game theory, and AI safety: an interview with Adeela Bashir
In a new series of interviews, we’re meeting some of the PhD students that were selected to take part in the Doctoral Consortium at the International Joint Conference on Artificial Intelligence and the 29th European Conference on Artificial Intelligence (IJACI-ECAI 2026). This time, we meet Adeela Bashir to find out how she is contributing to
2026 AAAI / ACM SIGAI Doctoral Consortium interviews compilation
Each year, a small group of PhD students are chosen to participate in the AAAI/SIGAI Doctoral Consortium. This initiative provides an opportunity for the students to discuss and explore their research interests and career objectives in an interdisciplinary workshop together with a panel of established researchers. During 2026, we met with some of the students
Machine learning for clinical time-series forecasting: an interview with Mayra Elwes
In a series of interviews, we’re meeting some of the PhD students that were selected to take part in the Doctoral Consortium at the International Joint Conference on Artificial Intelligence and the 29th European Conference on Artificial Intelligence (IJACI-ECAI 2026). This time, we hear from Mayra Elwes about her work developing machine learning methods for
Can you teach yourself to detect AI writing? Maybe
Yasmine Boudiaf & LOTI / Data Processing / Licenced by CC-BY 4.0. By Celeste Rodriguez Louro, The University of Western Australia AI is quietly reshaping writing. It’s not just that prose is changing — the very structure of written language is genuinely changing too. It’s not just a new technology. It’s not a fad. It’s
Interview with William Yijiang Li: vision language models and the physical world
At the International Conference on Machine Learning (ICML 2026), Dezhi Luo, Yijiang Li, Maijunxian Wang, Tianwei Zhao, Bingyang Wang, Siheng Wang, Pinyuan Feng, Pooyan Rahmanzadehgervi, Ziqiao Ma, and Hokin Deng presented their work Vision Language Models Cannot Reason About Physical Transformation. In this interview, William Yijiang Li tells us more about the research, the method
Forthcoming machine learning and AI seminars: October 2026 edition
This post contains a list of the AI-related seminars that are scheduled to take place in the next couple of months. All events detailed here are free and open for anyone to attend virtually. 5 October 2026 Socialism after AI Speakers: Evgeny Morozov Organised by: London School of Economics and Political Science Sign up here.
Rebuilding the brain with neuromorphic computing: an interview with Oliver Rhodes
The SpiNNaker supercomputer. Image credits: University of Manchester. What can we learn from the brain about building better computers? Oliver Rhodes discusses how neuromorphic computing draws on the brain’s architecture to develop new approaches to more efficient information processing. Can you give me an overview of your background and the research that you’re involved with?
Neurosymbolic planning using natural language communication for cooperative autonomous vehicles
Imagine you are driving toward an intersection. A truck parked on the corner blocks your view of a car speeding toward the intersection from the right. You can’t see it, but the car next to you can. What if that neighboring vehicle could simply tell your car, “Vehicle merging from the right, about 15 meters
AIhub monthly digest: September 2026 – tracking animal populations, recommender systems, and an interview with Ken Goldberg
Welcome to our monthly digest, where you can catch up with any AIhub stories you may have missed, peruse the latest news, recap recent events, and more. This month, we meet AI pioneer Ken Goldberg, use AI techniques to track animal populations, investigate how to improve recommender systems, and find out how external knowledge is